What happens when the line between creator and creation begins to blur? In this unique episode of "Human After AI," we delve into the mind of Hank M. Greene, the visionary author behind the "Time" trilogy, the post-apocalyptic novel "2028," and the upcoming book "Maya."

Join host Mandrake Jubilee for a deep dive into the philosophical questions at the heart of Greene's work: artificial intelligence that outpaces its makers, the true nature of consciousness, and what it means to be human in a world we increasingly share with synthetic minds. We discuss the intricate connections within his literary universe and explore how his own "Human after AI" podcast and creative process are intertwined with the very technology he writes about.

A Note on Our Process (Full Transparency):

This podcast is an experiment in storytelling and technology. The interview script was generated by Google's AI based on the works and online presence of Hank M. Greene. The voices you hear for the host, Mandrake Jubilee, and the author, Hank M. Greene, were generated using Google's AI Studio text-to-voice service. This episode is a synthetic production, designed to explore the themes of AI and creativity by using the very tools it discusses.

Join us for a listening experience that is both about the future and a product of it.

This Deep Dive synthesizes insights from recent scientific literature on dopamine's role in the brain, advancements in Artificial Intelligence (AI) modeling of brain functions, and the ethical implications of AI decision-making. Key themes include the evolving understanding of dopamine beyond "pleasure," its crucial role in motivation, wanting, and learning, and how these biological mechanisms are inspiring more adaptive AI. Simultaneously, the pervasive integration of AI into daily life presents significant ethical risks, necessitating robust governance and a critical examination of how AI shapes human behavior, societal structures, and our sense of well-being.

In this Deep Dive we examine the multifaceted concept of consciousness, particularly in the context of Artificial Intelligence (AI). They explore what defines consciousness in biological systems, often linking it to self-awareness, feelings, and complex neural processes, while also considering if these attributes can be replicated or emerge in non-biological systems. A central debate revolves around whether consciousness is substrate-independent, meaning it can exist in materials other than biological brains, or if it inherently requires specific biological components. The texts also differentiate between Weak AI, which serves as a problem-solving tool, and Strong AI, posited as possessing genuine phenomenal consciousness, and discuss the profound ethical and societal implications that would arise if AI achieved true consciousness.

🎧 Listen in as NotebookLM (AI) tries to make sense of the question: "Can AI become conscious?".

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#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI

This Deep Dive discusses a novel approach to developing Artificial General Intelligence (AGI), referred to as a "computer-based awareness," which distinguishes itself from current large language models (LLMs). This method centers on creating a "DNA factory" that generates unique, subtly distinct neurons within small neural networks. Unlike LLMs, where neurons are largely uniform, this new architecture aims to mimic the complex, specialized regions of the human brain, with each small network designed to approximate the function of a specific brain area. The proposed system relies on quantum chips to manage the computational demands of these dynamic interactions and overcome limitations faced by traditional GPUs. The ultimate goal is to achieve emergent behavior and awareness through the real-time interaction of these specialized networks, guided by a detailed "brain map" designed by one of the protagonists.

🎧 Listen in as NotebookLM (AI) discusses the crosssection of the latest in AI with projections of the next few years sprinkled with a fictional AI architecture.

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#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI

This Deep Dive, Experiment 3: Pathways to Artificial General Intelligence, discusses the rapid advancements and profound implications of Artificial Intelligence (AI), particularly the emergence of Artificial General Intelligence (AGI) and superintelligence. Several sources from Academia.edu explore neuroscience and the concept of self-consciousness, pondering how the brain constructs a sense of self and how this relates to consciousness. "AI 2027" and "Situational Awareness" present detailed forecasts of AI development, predicting the arrival of highly capable AI agents that will automate jobs, accelerate research, and transform industries, necessitating a significant focus on AI alignment, security, and the geopolitical implications of an "AGI race". "Attention Is All You Need" is briefly cited for its contribution to Transformer models, a foundational technology in modern AI. Lastly, a TED Talk by Eric Schmidt suggests the AI revolution is currently "underhyped," underscoring the transformative power anticipated by these sources.

🎧 Listen in as NotebookLM (AI) tries to make sense of our near future.

🎧 Subscribe on Substack: https://hankmgreene.substack.com

#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI

This Deep Dive discusses various perspectives on the development of artificial intelligence, particularly focusing on the concept of consciousness and superintelligence. One source, "Self Comes to Mind," explores consciousness and self within neurological processes, referencing existing scientific literature and suggesting connections between affective neuroscience and the philosophy of self. In contrast, "SITUATIONAL AWARENESS: The Decade Ahead" emphasizes the rapid advancements in Artificial General Intelligence (AGI), predicting the emergence of superintelligent machines within the decade and highlighting associated national security concerns and the race between global powers. Another source, "Notes on the next AI Architecture," proposes a novel approach to AGI design, focusing on creating unique, specialized neural networks that mimic biological brain regions using quantum computing to achieve emergent awareness. Lastly, "Attention Is All You Need" introduces the Transformer architecture, a foundational development in Large Language Models (LLMs) that uses attention mechanisms for efficient machine translation.

🎧 Listen in as NotebookLM (AI) tries to make sense of a runway we’re already living in.

🎧 Subscribe on Substack: https://hankmgreene.substack.com

#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI

In this special episode, AI meets imagination. We fed Google’s NotebookLM an entire universe of content — novels (Ten, One, The Poet, Maya, 2028, and the draft of The Book of Max), character arcs, research notes, drafts, and real-world technical data — all from author Hank M. Greene’s visionary science fiction saga.

The result? A 30-minute AI-generated conversation between two synthetic hosts exploring themes of collapse, memory, machine ethics, and the quiet resistance of the human spirit.

Whether you’re a longtime reader or new to the world of Ten, this podcast offers a deeply meta, often ironic, and occasionally eerie perspective on where science fiction ends and reality begins.

🎧 Listen in as AI tries to make sense of a future we’re already living in — one story loop at a time.

🎧 Subscribe on Substack: https://hankmgreene.substack.com

#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI

Before the darkness settled in for good, Sachin and Mohit just wanted to head south, maybe find a beach, and wait out the collapse in peace. Instead? They got a border panic, a stolen car (by a rat), men with guns, and the sobering realization that 2028 — the year the power went out — was going to be way more ridiculous and dangerous than expected. In this special NotebookLM-generated episode, our synthetic hosts deliver a sharply funny, AI-ironic take on the opening chapter of 2028, blending comedy with catastrophe as they unpack the absurdity of trying to plan anything when the grid is dead and society is cracking. Welcome to the end of the world... hold the drama, add a punchline.

🎧 Subscribe on Substack: https://hankmgreene.substack.com

#GPT #NotebookLM #SpeculativeFiction #AIethics #SciFiPodcast #TimeTrilogy #TenByHankGreene #HumanAfterAI